Unit 11 Solving systems by elimination
Students will understand:
Straight lines are widely used to model relationships between two quantitative variables.
Patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table.
Students will be able to:
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities.
Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects.
In a two-way table, use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Day
Section
Lesson Title/Lesson Objectives
1-2
15.3 & 15.1
Using Scatter Plots to Display and Analyze Two-Variable Relationships/Collect data & create scatter plots & data
3
15.2
Add matching activity to include linear & nonlinear
Interpreting Patterns in Scatter Plots/pos & neg association, outliers, linear & nonlinear associations (clustering?)
4-5
16.1 + extra practice?
Drawing lines of best fit
6
16.2
Analyzing the Line of Bets Fit/ Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept
7
16.3
Performing an Experiment/Collect data, create scatter plot & line of best fit
8-9
17.2
Using Two-Way Tables to Display Two-Variable Data Sets
Students will understand:
- Straight lines are widely used to model relationships between two quantitative variables.
- Patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table.
Students will be able to:Add matching activity to include linear & nonlinear
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